International Conference on Statistics and Analytical Methods in Automotive Engineering

These IMechE conference transactions examine how major improvements have been made in product delivery processes by the effective use of both statistical and analytical methods, as well as examining the problems that can occur as a result of under utilization of information.

This volume will be of great interest to managers, engineers, and statisticians at all levels, engaged in project management or the design and development of motor vehicles, their subsystems, and components.

CONTENTS INCLUDE

• Applications of advanced modelling methods in engine development
• Application of adaptive online DoE techniques for engine ECU calibration
• Radial basis functions for engine modelling
• Designing for Six Sigma reliability
• Dimensional variation analysis for automotive hybrid aluminium body structures
• Reliability-based multidisciplinary design optimization of vehicle structures

Part 1 Engines: Bayesian statistics in engine mapping,
M.C. Ward et al

Applications of advanced modelling methods in engine development,
J. Seabrook et al

Application of adaptive online DoE techniques for engine ECU calibration,
Y. Raynaud et al

Radial basis functions for engine modelling,
T.M. Morton and S. Knott

An engine mapping case study - a two-stage regression approach,
D.W. Rose et al

Application of a pareto-based evolutionary algorithm to fuel injection optimization,
O. Roudenko et al

A parametric inlet port design tool for multi-valve diesel engines,
M.C. Bates and M.R. Heikal

Practical application of DoE methods in the development of production internal combustion engines,
K. Roepke et al

A model and methodology used to assess the robustness of vehicle emissions and fuel economy characteristics,
P.J. Shayler et al

The application of multivariate correlated techniques to driveability analysis,
S.G. Pickering et al

Part 2 Vehicles, systems and components: experiencing customer vehicle comfort requirements using concept synthesis techniques,
D.J. Fothergill and M. Allman-Ward

Designing for six sigma reliability,
D. Brunson et al

Dimensional variation analysis for automotive hybrid aluminium body structures,
R. Koganti and M. Zaluzec

Reliability-based multidisciplinary design optimization of vehicle structures,
R.J. Yang et al

An analysis methodology for the simulation of vehicle pedestrian accidents,
N. Le Glatin et al

Sensitivity of transmission noise and vibration to manufacturing and assembly process drift and variability, S.M. Athervale et al

The improvement of vehicle performance using predictive diagnostic algorithms,
L. Borgarello et al

Reliability modelling using warranty data,
I.F. Campean and D. Brunson

Application of proportional hazard model to tyre design analysis,
V.V. Krivtsov et al

Better understanding of automotive manufacturing reliability data using a spreadsheet-based model fitting tool,
M. Linsley et al

Achieving robust designs through the use of "design for Six Sigma",
D. Mortimer

The IMechE is the United Kingdom's qualifying body for mechanical engineers and the home of mechanical engineers for over 150 years. Around 75,000 engineers world-wide are members.